In this episode of Impetus Digital’s Fireside Chat, Moshe Safran, CEO at RSIP Vision USA discusses a range of topics related to computer vision, AI, and deep learning in medical imaging, surgery, and healthcare, including the work that RSIP Vision is doing in these fields.
Here is a sneak peek of our conversation:
Q: Sometimes people might be confused about exactly what “computer vision” is. Can you explain what we mean by “computer vision”?
A: We have been doing this since before AI became a buzzword. Obviously, the primary tool for computer vision these days is AI: unsupervised learning and neural networks. But computer vision at its heart is creating a piece of software that receives some sort of image or spatial data input. It can be a CT scan, a point cloud, an X-ray image, or a video feed coming from a surgical endoscope; receiving some sort of image or video data as input and providing us the output of whatever it is you’re looking for in that image. It can be taking a raw CT scan and turning it into a 3D model. It can be taking 2D images and turning those into a 3D model that can be manipulated by a surgeon who is planning a surgery. It can be an interpretation of that image, for instance, screening images for disease classification, or referring patients, or recommending different types of procedures to different patients based on their imaging data. It’s a very wide field.
We, as a company, are focused exclusively on medical computer vision tasks. Under that umbrella, it can be many different types of images. It can be many different types of medical verticals like Cardio, Ortho, Endoscopy, and many more medical tasks. But for us, there are many commonalities between these different challenges. In the end, you’re getting an image and you’re looking to locate something in that image or you’re looking to provide some sort of interpretation in that image. You can borrow technologies that were used for one type of task and one type of modality, and accumulate the experience in one type of task. That translates sometimes very nicely to other medical tasks as well.
For more of our discussion, you can watch the whole Fireside Chat with Moshe Safran, or listen to the podcast version, below.
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